Ensemble methods have gained great
attention of scientific community over the last several years. Multiple
models have been theoretically and empirically shown to provide significantly
better performance than their single base models. Ensemble algorithms have
found their application in various real word problems ranging from person
recognition through medical diagnosis and text classification to financial
forecasting. The MMAML 2016 Special Session at the 8th Asian Conference on
Intelligent Information and Database Systems (ACIIDS 2016) is devoted to the
ensemble methods addressing classification, prediction, and clustering
problems and their application to Big Data and small data sets as well as
data streams and stationary data sets. We want to offer an opportunity for
researchers and practitioners to identify new promising research directions
as well as to publish recent advances in this area. The scope of the MMAML 2016
includes, but is not limited to the following topics:

All contributions should be original and
not published elsewhere or intended to be published during the review period.
Authors are invited to submit their papers electronically in pdf format,
through EasyChair. All the special sessions are centralized as tracks in the
same conference management system as the regular papers. Therefore, to submit
a paper please activate the following link and select the track: MMAML
2016: Special Session on Multiple Model Approach to Machine Learning.

Authors are invited to submit original previously unpublished research
papers written in English, of up to 10 pages, strictly following the
LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or
Word templates available at Springer's
web site.
Submissions not following the format guidelines will be rejected without
review. To ensure high quality, all papers will be thoroughly reviewed by the
MMAML 2016 International Program Committee. All accepted papers must
be presented by one of the authors who must register for the conference and
pay the fee. The conference proceedings will be published by Springer in the
prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of
Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.).

Post-conference publication

A selected number of accepted and personally presented
papers will be expanded and revised for possible inclusion in special issues in
high quality scientific journals. So far, the best papers presented during
MMAML special sessions have been invited to special issues on Hybrid
and Ensemble Methods in Machine Learning of the following prestigious
journals: New Generation Computing (IF=0.941) published
in 2011, International Journal of Applied Mathematics and Computer Science
(IF=0.487) published in 2012, Journal of Universal Computer Science (IF=0.669)published in 2013, and journal Soft Computing
(IF=1.124), to be published in Fall 2014. At present, we are inviting papers to
the Special Issue on Hybrid Ensemble Machine Learning for Complex and Dynamic
Data in New Generation Computing (IF=0.941), to be published in 2016.
Call for papers you can find under the address: http://kms.ii.pwr.wroc.pl/events/HEMLCDD2014